8 citations · 21 across the 12 of their papers we have counts for
12 papers
All-in-One Tuning and Structural Pruning for Domain-Specific LLMs
Lei Lu, Zhepeng Wang, Runxue Bao +7
Existing pruning techniques for large language models (LLMs) targeting domain-specific applications typically follow a two-stage process: pruning the pretrained general-purpose LLM…
A Self-guided Multimodal Approach to Enhancing Graph Representation Learning for Alzheimer's Diseases
Zhepeng Wang, Runxue Bao, Yawen Wu +6
Graph neural networks (GNNs) are powerful machine learning models designed to handle irregularly structured data. However, their generic design often proves inadequate for analyzin…
Unlocking Memorization in Large Language Models with Dynamic Soft Prompting
Zhepeng Wang, Runxue Bao, Yawen Wu +6
Pretrained large language models (LLMs) have revolutionized natural language processing (NLP) tasks such as summarization, question answering, and translation. However, LLMs pose s…
PristiQ: A Co-Design Framework for Preserving Data Security of Quantum Learning in the Cloud
Zhepeng Wang, Yi Sheng, Nirajan Koirala +4
Benefiting from cloud computing, today's early-stage quantum computers can be remotely accessed via the cloud services, known as Quantum-as-a-Service (QaaS). However, it poses a hi…
Edge-InversionNet: Enabling Efficient Inference of InversionNet on Edge Devices
Zhepeng Wang, Isaacshubhanand Putla, Weiwen Jiang +1
Seismic full waveform inversion (FWI) is a widely used technique in geophysics for inferring subsurface structures from seismic data. And InversionNet is one of the most successful…
A Novel Spatial-Temporal Variational Quantum Circuit to Enable Deep Learning on NISQ Devices
Jinyang Li, Zhepeng Wang, Zhirui Hu +3
Quantum computing presents a promising approach for machine learning with its capability for extremely parallel computation in high-dimension through superposition and entanglement…
VENUS: A Geometrical Representation for Quantum State Visualization
Shaolun Ruan, Ribo Yuan, Qiang Guan +6
Visualizations have played a crucial role in helping quantum computing users explore quantum states in various quantum computing applications. Among them, Bloch Sphere is the widel…
QuMoS: A Framework for Preserving Security of Quantum Machine Learning Model
Zhepeng Wang, Jinyang Li, Zhirui Hu +3
Security has always been a critical issue in machine learning (ML) applications. Due to the high cost of model training -- such as collecting relevant samples, labeling data, and c…
Quantum Neural Network Compression
Zhirui Hu, Peiyan Dong, Zhepeng Wang +3
Model compression, such as pruning and quantization, has been widely applied to optimize neural networks on resource-limited classical devices. Recently, there are growing interest…
Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow
Zhiding Liang, Zhepeng Wang, Junhuan Yang +4
In the noisy intermediate-scale quantum (NISQ) era, one of the key questions is how to deal with the high noise level existing in physical quantum bits (qubits). Quantum error corr…
Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search
Hongwu Peng, Shiyang Chen, Zhepeng Wang +9
Molecular similarity search has been widely used in drug discovery to identify structurally similar compounds from large molecular databases rapidly. With the increasing size of ch…
Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs
Zhepeng Wang, Zhiding Liang, Shanglin Zhou +3
With the constant increase of the number of quantum bits (qubits) in the actual quantum computers, implementing and accelerating the prevalent deep learning on quantum computers ar…